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9th international congress on Image and Signal Processing, BioMedical engineering and Informatics (CISP-BMEI)

作者： Du, Wei Lin, Hu Sun, Jianwei Yu, Bo Yang, Haibo Shenyang Inst Comp Technol Shenyang Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781509037100

Content-based music similarity is becoming important because of the millions of songs with online distribution. However, current methods have to treat the same attention on unrelated information or different informative information. In this paper, a new method is proposed to compute the music similarity with relevant component analysis. Considering the different weights for different parts, this method pays more attention on those parts with informative features by ranking the Mel-frequency cepstral coefficients frames on energy, and masters the song features more precisely compared with other methods. Experimental results on public dataset MusiClef show that this method works faster on music similarity computation task without sacrificing the accuracy of the similarity measurement.

关键词： MFCC RCA Music Similarity

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Mobile agent-based computational steering for distributed simulation

Mobile agent-based computational steering for distributed si...

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ASME 2007 international Mechanical engineering congress and Exposition, IMECE 2007

作者： Chou, Yu-Cheng Ko, David Cheng, Harry H. Davis, Roger L. Chen, Bo Integration Engineering Laboratory Department of Mechanical and Aeronautical Engineering University of California DavisCA95616 United States Department of Mechanical Engineering-Engineering Mechanics Michigan Technological University HoughtonMI49931 United States

ISBN: (纸本)0791843068

Two challenging problems in the area of scientific computation are long computation time and large-scale, distributed, and diverse data sets. As the scale of science and engineering applications rapidly expands, these two problems become more manifest than ever. This paper presents the concept of Mobile Agentbased computational Steering (MACS) for distributed simulation. The MACS allows users to apply new or modified algorithms to a running application by altering certain sections of the program code without the need of stopping the execution and recompiling the program code. The concept has been validated through an application for dynamic CFD data post processing. The validation results show that the MACS has a great potential to enhance productivity and data manageability of large-scale distributed computational systems. Copyright © 2007 by ASME.

关键词： Mobile agents

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MULTI-OBJECTIVE AERODYNAMIC DESIGN OPTIMIZATION BASED ON CAMBER LINE AND THICKNESS DISTRIBUTION FOR A TRANSONIC COMPRESSOR ROTOR

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ASME international Mechanical engineering congress and Exposition

作者： Wang, Xiangfeng Wang, Songtao Han, Wanjin Harbin Inst Technol Sch Energy Sci & Engn Harbin 150001 Peoples R China

ISBN: (纸本)9780791848661

The paper describes a new optimization system for computationally expensive design optimization problems of turbomachinery, combined with design of experiment (DOE), response surface models (RSM), multi-objective genetic algorithm (MOGA) and a 3-D Navier-Stokes solver. A flow field solver code was developed based on three dimensional Navier-Stokes equations and validated by comparing computation results with experimental data. The improved non-dominated sorting genetic algorithm (NSGA-II) was used to solve the multi-objective problems. A constraint handling method without penalty function used to treat constrained optimization problems was improved and applied to constrained multi-objective problems. Data points for response evaluations were selected by the improved-hypercube sampling (IHS) algorithm and 3-D Navier-Stokes analysis was carried out at these sample points. The quadratic response surface model was used to approximate the relationships between the design variables and flow parameters. The genetic algorithm was applied to the response surface model to perform global optimization and obtain the optimum design. The above optimization method was applied to aerodynamic redesign of NASA Rotor37 with camber line and thickness distribution, the objects were to maximize the total pressure ratio and the adiabatic efficiency. Results showed the adiabatic efficiency improved by 0.7% and the total pressure by 0.66%. The multi-objective optimization design method is feasible.

关键词： Design methodology Optimization Flow (Dynamics) Pressure computation Navier-Stokes equations Response surface methodology Pareto optimization Rotors Design algorithms Genetic algorithms Compressors Turbomachinery NASA

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EXPERIMENTAL IDENTIFICATION OF COMPONENT PARAMETERS FOR MULTIPLE-EVAPORATOR VAPOR COMPRESSION REFRIGERATION CYCLE

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ASME international Mechanical engineering congress and Exposition

作者： Catano, Juan E. Zhang, Tiejun Zhou, Rongliang Michna, Gregory J. Jensen, Michael K. Peles, Yoav Wen, John T. Rensselaer Polytech Inst Troy NY 12181 USA

ISBN: (纸本)9780791843826

Vapor compression refrigeration cycles have become a promising alternative for high-heat-flux electronic cooling. Still, this area of research lacks the modeling and control design tools to facilitate its practical implementation. At Rensselaer simulation models for system level design and algorithms for temperature control are being developed to bridge that gap. However, these models need to be validated by experimental results. Since the models are not entirely based on first-principle equations, the empirical relations should be matched to the particular experimental setup used for validation. Therefore, the first step towards validation is the identification of empirical parameters that are intrinsic to the experimental apparatus and are required for the simulation. Consequently, this paper presents the experimental identification of the expansion valve coefficient, and the compressor's volumetric efficiency used in the model. Experiments are performed at different expansion valve openings and different compressor speeds until steady-state is reached. The steady-state data is used to obtain the expansion valve coefficients, and the compressor's volumetric efficiency. Finally, the data is used to obtain correlations, which are adequately accurate with reasonable computation cost, for each of the evaluated parameters to be incorporated into the simulation model.

关键词： Heat algorithms Bridges (Structures) Simulation Vapors Computer cooling Refrigeration cycles Valves Temperature control Control modeling computation Design Steady state Compressors Simulation models Compression

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Fault - tolerant procedures for air data elaboration

Fault - tolerant procedures for air data elaboration

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25th congress of the international Council of the Aeronautical Sciences 2006

作者： Calia, Alberto Denti, Eugenio Galatolo, Roberto Schettini, Francesco University of Pisa Department of Aerospace Engineering Pisa Italy

ISBN: (纸本)9781604232271

In a modern Full-Authority Fly-By-Wire Flight Control System (FBW/FCS), the air data (static pressure, Mach number, and angles of attack and sideslip) are critical items for the safety of flight operations. As a matter of fact, air data are used for gain scheduling in the control laws and for the envelope protection. Such data have to be obtained by specific computation algorithms on the basis of local airflow measurements performed by redundant air data probes. The algorithms also have to manage the redundancy in order to detect possible failures and to provide consolidated outputs. This paper describes two different approaches to the development of air data computation algorithms. The first one, widely illustrated in [1], uses polynomial calibration functions tuned on wind tunnel test data relevant to the new jet trainer Aermacchi M-346. The second approach is based on neural networks trained in two ways: using the same wind tunnel data and using preliminary flight test data. The paper also illustrates the monitoring and voting algorithms developed in order to identify possible probe failures and to provide a voted value for each air data parameter. Finally, the results of the different approaches are presented by comparisons with the wind tunnel data and preliminary flight test data.

关键词： Probes

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GLOBAL SENSITIVITY ANALYSIS FOR A BAYESIAN NETWORK

GLOBAL SENSITIVITY ANALYSIS FOR A BAYESIAN NETWORK

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ASME international Design engineering Technical Conference / Computer and Information in engineering Conference (IDETC/CIE)

作者： Li, Chenzhao Mahadevan, Sankaran Vanderbilt Univ Dept Civil & Environm Engn Nashville TN 37235 USA

ISBN: (纸本)9780791850077

In a Bayesian network, how a node of interest is affected by the observation of another node is of interest in both forward propagation and backward inference. The proposed global sensitivity analysis (GSA) for Bayesian network aims to calculate the Sobol' sensitivity index of a node with respect to the node of interest. The desired GSA for Bayesian network confronts two challenges. First, the computation of the Sobol' index requires a deterministic function while the Bayesian network is a stochastic model. Second, the computation of the Sobol' index can be expensive, especially if the model inputs are correlated, which is common in a Bayesian network. To solve the first challenge, this paper uses the auxiliary variable method to convert the path between two nodes in the Bayesian network to a deterministic function, thus making the Sobol' index computation feasible in a Bayesian network. To solve the second challenge, this paper proposes an efficient algorithm to directly estimate the first-order Sobol' index from Monte Carlo samples of the prior distribution of the Bayesian network, so that the proposed GSA for Bayesian network is computationally affordable. Before the updating, the proposed algorithm can predict the uncertainty reduction of the node of interest purely using the prior distribution samples, thus providing quantitative guidance for effective observation and updating.

关键词： Uncertainty algorithms computation Sensitivity analysis

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Fast circulant block Jacket transform based on the Pauli matrices

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international Journal of High Performance Computing and Networking 2016年第1-2期9卷 45-51页

作者： Liu, Guibo Wang, Zhan Luo, Dayong Guo, Ying Lee, Moon Ho School of Information Science and Engineering Central South University Changsha410083 China Institute of Information and Communication Chonbuk National University Jeonju561-756 Korea Republic of

Owing to its orthogonality, simplicity of the inversion and fast algorithms, Jacket transform generalising from the Hadamard transform has played important roles in signal and image processing, mobile communication for coding design, cryptography, etc. In this paper, inspired by the emerging block Jacket transform, a new class of circulant block Jacket matrices (CBJMs) are mathematically defined based on the circulant matrix theory. Then the existence conditions for the CBJMs with any size based on the Pauli matrices are explicitly given. Next, by employing the Kroneker product and successive low order basic matrices, the fast algorithms for the construction and decomposition of any high order circulant Pauli block Jacket matrices (CPBJMs) are systematically obtained. Finally, compared to the direct computation (DC), the proposed fast algorithms have a better efficiency, which may be available in many fields, such as signal sequence design, image compression, communication for coding and encoding, quantum signal processing and information theory. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Hadamard transforms

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A mating strategy for multi-parent genetic algorithms by integrating tabu search

A mating strategy for multi-parent genetic algorithms by int...

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2003 congress on Evolutionary computation, CEC 2003

作者： Ting, Chuan-Kang Büning, Hans Kleine International Graduate School of Dynamic Intelligent Systems Germany Department of Computer Science Electrical Engineering and Mathematics University Paderborn 33098 Paderhom Germany

ISBN: (纸本)0780378040

Multiparent crossovers have been validated their outperformance on several optimization problems. However, there are two issues to be considered - the number of parents and the disruptiveness caused by multiple parents. We present a tabu multiparent genetic algorithm (TMPGA) to address these two issues by integrating tabu search into the mating of multiparent genetic algorithms. TMPGA utilizes the tabu restriction and the aspiration criterion to sift selected parents in consideration of population diversity and selection pressure. Furthermore, the resulting mating validity further adjusts the number of parents participating in a mating. Experiments are conducted with four common test functions. The results indicate that TMPGA can achieve better performance than both two-parent GA and multiparent GA with the diagonal crossover. © 2003 IEEE.

关键词： Genetic algorithms

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Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features

Evolutionary algorithms for classification of mammographie d...

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2016 IEEE congress on Evolutionary computation, CEC 2016

作者： Burling-Claridge, Francine Iqbal, Muhammad Zhang, Mengjie School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

ISBN: (纸本)9781509006229

Millions of women are suffering from breast cancer, which can be treated effectively if it is detected early. Breast density is one of the many factors that lead to an increased risk of breast cancer for women. However, it is difficult for radiologists to provide both accurate and uniform evaluations of different density levels in a large number of mammographic images generated in the screening process. Various computer aided diagnosis systems for digital mammograms have been reported in literature, but very few of them thoroughly investigate mammographic densities. This study presents a thorough analysis of classifying mammographic densities using different local binary patterns and statistical features of digital mammograms in two evolutionary algorithms, i.e., genetic programming and learning classifier systems;and four conventional classification methods, i.e., naive Bayes, decision trees, K-nearest neighbor, and support vector machines. The obtained results show that evolutionary algorithms have potential to solve these challenging real-world tasks. It is found that statistical features produced better results than local binary patterns for the experiments conducted in this study. Further, in genetic programming, the reuse of extracted knowledge from one feature set to another shows statistically significant improvement over the standard approach. © 2016 IEEE.

关键词： Local binary pattern

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A satellite cluster data transmission scheduling method based on genetic algorithm with rote learning operator

A satellite cluster data transmission scheduling method base...

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2016 IEEE congress on Evolutionary computation, CEC 2016

作者： Chen, Hao Zhou, Yirong Du, Chun Li, Jun School of Electronic Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9781509006229

With the appearance of satellite cluster nowadays, some new challenges have emerged in satellite data transmission scheduling. Current researches ignored the new features of the satellite cluster data transmission such as the periodicity of data transmission window collisions which could direct the future scheduling. Considering the characteristics of the problem, a data transmission conflict window model for satellite cluster is established and a novel algorithm based on genetic algorithm is proposed. In order to improve the searching efficiency, convergence rate and stability of our algorithm, a rote learning operator is designed, which can generate heuristic from past scheduling results and lead searching direction of our algorithm. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm. © 2016 IEEE.

关键词： Genetic algorithms

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